• Title/Summary/Keyword: 의심도

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Information System Research for Safe Transportation in the era of Pandemic Infectious Disease (팬데믹 감염병 시대에 안전이송을 위한 정보시스템 연구)

  • Kim, Seung-Yong;Hwang, In-Cheol;Kim, Dong-Sik
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2022.10a
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    • pp.335-336
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    • 2022
  • 연구목적: 감염병 유행시 감염병 의심 환자의 구급활동을 위해 출동한 소방대원의 안전을 확보하고, 현장에서 수집된 정보를 바탕으로 지역별 감염병 의심환자 발생 현황을 파악하여 현장 통제 및 지원이 가능한 소방 감염병 관리 시스템을 개발하고자 한다. 연구방법: 감염병 의심 환자를 분류할 수 있는 스마트폰 앱을 개발하여 감염병 의심 여부를 확인하고, 감염병 의심 환자로부터 감염을 방지하기 위해 환자 식별용 NFC태그를 1회용 형태로 개발한다. 현장에서 입력되는 감염병 의심 응급환자 관련 데이터를 수집하고 분석할 수 있는 관리 시스템을 개발하여 해당 업무 관련자에게 제공하여 감염병 의심 응급환자의 이송을 개선하는지 평가한다. 연구결과: 실험결과 스마트폰 앱에 구현된 알고리듬을 통해 감염병 의심 여부를 판단할 수 있었으며, 적정 이송병원으로 이송함으로써 재이송 비율히 현저히 감소되었다. 결론: 본 연구를 통해 응급의료 서비스에 ICT 기술을 적용하여 응급의료 서비스를 개선할 수 있는 가능성을 확인하였으며 특히 감염병 의심환자에 대한 적정병원 이송으로 이송시간 단축 및 응급환자의 소생률 향상과 함께 구급대원의 안전을 적극적으로 확보할 수 있을 것으로 기대된다.

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Test Case Grouping and Filtering for Better Performance of Spectrum-based Fault Localization (결함위치식별 기법의 성능 향상을 위한 테스트케이스 그룹화 및 필터링 기법)

  • Kim, Jeongho;Lee, Eunseok
    • Journal of KIISE
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    • v.43 no.8
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    • pp.883-892
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    • 2016
  • Spectrum-based fault localization (SFL) method assigns a suspicious ratio. The statement is strongly affected by a failed test case compared to a passed test case. A failed test case assigns a suspicious ratio while a passed test case reduces some parts of assigned suspicious ratio. In the absence of a failed test case, it is impossible to localize the fault. Thus, a failed test case is very important for fault localization. However, spectrum-based fault localization has difficulty in reflecting the unique characteristics of a failed test because a failed test case and a passed test case are input at the same time to calculate a suspicious ratio. This paper supplements for this limitation and suggests a test case grouping method for more accurate fault localization. In addition, this paper suggested a filtering method considering test efficiency and verified the effectiveness by applying 65 algorithms. In 90 % of whole methods, the accuracy was improved by 13% and the effectiveness was improved by 72% based on EXAM score.

Detecting suspicious branch statements through recording and analyzing execution logs of apps using reflection (리플렉션이 사용된 앱의 실행 로그 기록 및 분석을 통한 의심스러운 분기문 탐지)

  • Sumin Lee;Minho Park;Jiman Hong
    • Smart Media Journal
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    • v.12 no.5
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    • pp.58-64
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    • 2023
  • In Logic Bomb, the conditions of branch statements that trigger malicious behavior cannot be detected in advance, making Android malicious app analysis difficult. Various studies have been conducted to detect potentially suspicious branch statements that can be logic bombs and triggers, but suspicious branch statements cannot be properly detected in apps that contain information determined at runtime, such as reflection. In this paper, we propose a tool that can detect suspicious branch statements even when reflection is used in Android apps. It works through recording app execution logs and analyzing the recorded log). The proposed tool can check the relationship between the called method and the branch statement by recording and analyzing the user-defined methods, Java APIs called and method information called through reflection, and branch information in the log while the Android app is running. Experimental results show that suspicious branch statements can be detected even in apps where reflection is used.

A Study on Information System for Safe Transportation of Emergency Patients in the Era of Pandemic Infectious Disease (팬데믹 감염병 시대에 안전이송을 위한 정보시스템 연구)

  • Seungyong Kim;Incheol Hwang;Dongsik Kim
    • Journal of the Society of Disaster Information
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    • v.18 no.4
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    • pp.839-846
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    • 2022
  • Purpose: To secure the safety of firefighters who are dispatched to emergency activities for patients with suspected infectious diseases during an epidemic, and to identify the current status of suspected infectious disease patients by region based on the information collected at the site, and manage firefighting infectious diseases that can be controlled and supported I want to develop a system. Method: Develop a smartphone app that can classify suspected infectious disease patients to check whether an infectious disease is suspected, and develop a disposable NFC tag for patient identification to prevent infection from suspected infectious disease patients. Develop a management system that collects and analyzes data related to emergency patients with suspected infectious disease input from the field and provides them to relevant business personnel to evaluate whether the transport of emergency patients with suspected infectious disease is improved. Result: As a result of the experiment, it was possible to determine whether an infectious disease was suspected through the algorithm implemented in the smartphone app, and the retransfer rate was significantly reduced by transferring to an appropriate hospital. Conclusion: Through this study, the possibility of improving emergency medical services by applying ICT technology to emergency medical services was confirmed. It is expected that the safety of paramedics will be actively secured.

임신 증상

  • KOREA ASSOCIATION OF HEALTH PROMOTION
    • 건강소식
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    • v.29 no.11 s.324
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    • pp.28-29
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    • 2005
  • 임신의 증상은 사람에 따라 약간씩 차이가 난다. 그러나 아래와 같은 증상이 나타나면 일단 임신을 의심해 볼 수 있다. 임신인지 의심스러울 때는 바로 병원을 찾아 정확한 진단을 받는 것이 건강한 임신 10개월을 지낼수 있는 지름길이다.

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A Proactive Inference Method of Suspicious Domains (선제 대응을 위한 의심 도메인 추론 방안)

  • Kang, Byeongho;YANG, JISU;So, Jaehyun;Kim, Czang Yeob
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.2
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    • pp.405-413
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    • 2016
  • In this paper, we propose a proactive inference method of finding suspicious domains. Our method detects potential malicious domains from the seed domain information extracted from the TLD Zone files and WHOIS information. The inference process follows the three steps: searching the candidate domains, machine learning, and generating a suspicious domain pool. In the first step, we search the TLD Zone files and build a candidate domain set which has the same name server information with the seed domain. The next step clusters the candidate domains by the similarity of the WHOIS information. The final step in the inference process finds the seed domain's cluster, and make the cluster as a suspicious domain set. In experiments, we used .COM and .NET TLD Zone files, and tested 10 seed domains selected by our analysts. The experimental results show that our proposed method finds 55 suspicious domains and 52 true positives. F1 scores 0.91, and precision is 0.95 We hope our proposal will contribute to the further proactive malicious domain blacklisting research.

Predicting Factors of Developmental Delay in Infant and Early Children (일 지역 보건소 내원 영유아의 발달지연의심 예측요인)

  • Ju, Hyeon-Ok;Park, Yu-Kyung;Kim, Dong-Won
    • Child Health Nursing Research
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    • v.19 no.1
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    • pp.12-20
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    • 2013
  • Purpose: The purpose of this study was to investigate factors associated with suspicious developmental delay in infants and early childhood. Methods: Participants were 133 infants, aged from birth to 6 years old and their mothers, who were being seen at 16 Public health centers in B city. Korean Denver II was used to test infant development. ${\chi}^2$-test, Fisher's exact test and multiple logistic regression were used with SPSS 19.0 to analyze data. Results: Of participant infants, 7.5% were below the 3rd percentile for the weight percentile, 8.4% is a weight curve that crosses more than 2 percentile lines on the growth charts after previous achievement, and 9.8% had suspicious developmental delay according to Korean Denver II. Further the predictive factors related to suspicious development delay in the children were decrease of weight percentile (Odds Ratio [OR]=6.69, Confidence Interval [CI])=1.22-36.45), low economic state (OR=6.26, CI=1.50-26.00), and development delay perceived by their mothers (OR=4.99, CI=1.24-20.06). Conclusion: It is necessary to build a government level system to follow management of development of infants and children from the time of birth. Especially, it is necessary to develop a program for children in low income families.

Machine Learning-based Multiple Fault Localization with Bayesian Probability (베이지안 확률을 적용한 기계학습 기반 다중 결함 위치 식별 기법)

  • Song, Jihyoun;Kim, Jeongho;Lee, Eunseok
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.01a
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    • pp.151-154
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    • 2017
  • 소프트웨어의 개발과정 중 결함을 제거하는 작업인 디버깅을 위해서는 가장 먼저 그 결함의 정확한 위치를 찾아야한다. 이 작업은 많은 시간이 소요되며, 이 시간을 단축시키기 위한 결함 위치 식별 기법들이 소개되었다. 많은 기법들 중 프로그램 커버리지 정보를 학습하여 규칙을 분석하는 인공신경망 기반 선행 연구가 있다. 이를 기반으로 본 논문에서는 문장들 간의 관계를 추가적으로 파악하여 학습 데이터로 사용하는 기법을 제안한다. 특정 문장이 항상 지나는 테스트케이스들 중 나머지 다른 문장들이 지나는 테스트케이스의 비율을 통해 문장들 간의 관계를 나타낸다. 해당 비율을 계산하기 위해 조건부 확률인 베이지안 확률을 사용한다. 베이지안 확률을 통해 얻은 문장들의 관계에 따라 인공신경망 내에서 의심도를 결정하는 웨이트(weight)가 기존 기법과는 다르게 학습된다. 이 차이는 문장들의 의심도를 조정하며, 결과적으로 다중 결함 위치 식별의 정확도를 향상시킨다. 본 논문에서 제안한 기법을 이용하여 실험한 결과, Tarantula 대비 평균 39.8%, 기존 역전파 인공신경망(BPNN) 기반 기법 대비 평균 60.5%의 정확도 향상이 있었음을 확인할 수 있다.

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Fault Localization Method by Utilizing Memory Update Information and Memory Partitioning based on Memory Map (메모리 맵 기반 메모리 영역 분할과 메모리 갱신 정보를 활용한 결함 후보 축소 기법)

  • Kim, Kwanhyo;Choi, Ki-Yong;Lee, Jung-Won
    • Journal of KIISE
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    • v.43 no.9
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    • pp.998-1007
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    • 2016
  • In recent years, the cost of automotive ECU (Electronic Control Unit) has accounted for more than 30% of total car production cost. However, the complexity of testing and debugging an automotive ECU is increasing because automobile manufacturers outsource automotive ECU production. Therefore, a large amount of cost and time are spent to localize faults during testing an automotive ECU. In order to solve these problems, we propose a fault localization method in memory for developers who run the integration testing of automotive ECU. In this method, memory is partitioned by utilizing memory map, and fault-suspiciousness for each partition is calculated by utilizing memory update information. Then, the fault-suspicious region for partitions is decided based on calculated fault-suspiciousness. The preliminary result indicated that the proposed method reduced the fault-suspicious region to 15.01(%) of memory size.

Statistical Analysis of Patients Referred to Pediatric Cardiology Clinic for Diagnosis of Heart Disease (심장질환의 진단을 위해 의뢰된 환아들에 대한 자료 분석)

  • Choi, Kwang-Hae;Lee, Young-Hwan
    • Journal of Yeungnam Medical Science
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    • v.17 no.1
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    • pp.49-54
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    • 2000
  • Background: Echocardiography is rapidly establishing itself as the primary diagnostic technique for investigation of children with heart diseases, and referrals are increasing to the pediatric cardiology clinic for investigation. However, because there is a lack of analyzed data on the patients referred to the pediatric cardiology clinics, we have proceeded to compare and analyze their characteristics to provide basic data base. Methods: From Oct. 1, 1998 to Jul. 10, 1999, total 443 cases referred to the pediatric cardiology clinic of Yeungnam University Hospital were studied retrospectively by medical records, chest X-ray, EKG and echocardiography, etc. Results: The results were as follows. 1. The proportion of male was 61.0%(261 cases) and that of female was 39.0%(67 cases). The ratio of male to female was 1.6:1. The proportion infants less than 1 year-old was 62.6% (26R cases) of all patients. 2. Cardiac murmur was present in 248 cases(57.9%), which was the most common case of referral ed to the pediatric cardiology clinic. The impression at referral was more congenital heart disease(70.6%) than acquired heart disease(17.8%) and arrhythmia01.6%). 3. The final diagnosis was as follows : congenital heart disease was present in 212 cases(49.5%), acquired heart disease, 59 cases(13.9%); arrhythmia. 13 cases(3.0%); normal heart. 144 cases(33.6%). Conclusion: Among the patients referred to pediatric cardiology clinic, 33.6%(144 cases) had normal hearts and why these patients were referred may be possibly due to more dependence on echocardiography than on auscultation instruction. Therefore, clinical and auscultatory skill should be emphasized to minimize dependence on expensive echocardiography for evaluation of pediatric heart disease.

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